I will build a custom ai chatbot or rag system with proven accuracy

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taha_tanvir_dev
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taha_tanvir_dev
Taha Tanvir

About this gig

Most "RAG chatbot" gigs show you a demo and ask you to trust it works. I show you the evaluation.

Before I ship a RAG system, I run it through a scored benchmark judged by a separate AI model not myself grading my own work and document exactly which questions it answers correctly, which it correctly declines, and whether any failure traces back to retrieval or generation. You get the receipts, not just the claim.

What you get: a custom RAG/AI chatbot built on your documents or knowledge base, hybrid retrieval (semantic + keyword) with reranking, and generation powered by Gemini or Llama. Full source code included and for Standard/Premium an accuracy report run on your actual content.

I've built and rigorously evaluated a production RAG pipeline (case study in my portfolio) and shipped live AI features a negotiation assistant, risk scoring into a real B2B platform. I test what I build; I don't guess.

Get to know Taha Tanvir

Taha Tanvir

AI Engineer, RAG and LLM Integration Specialist

  • FromPakistan
  • Member sinceSep 2026
  • Avg. response time1 hour
  • Languages

    Urdu, English
I build backend systems and AI-powered features REST APIs, RAG/LLM integrations, and full-stack web apps. Recent work includes a production AI chatbot for a healthcare platform and AI-driven features for a marketplace app, using Python, Flask, Docker, FastAPI, and PostgreSQL. I'm also doing graduate-level AI research, so I bring real depth to RAG and LLM work, not just surface familiarity. Clear communication and tested, working code every time.

My Portfolio